Download Program Outcomes - Department of Electrical and Computer

EE370 – CLASSICAL FEEDBACK AND CONTROL SYSTEMS
CATALOG DATA
Introduction to control systems, feedback control characteristics, performance, stability,
analysis, synthesis and design of feedback control systems including digital techniques. 3
credits
PREREQUISTE: MATH 459 or MATH 432 and EE 360. All prerequisites must be
completed with a grade of C or better. Advanced Standing required.
RELEVANT TEXTBOOK*
Control Systems Engineering ( Norman S. Nise), John Wiely & Sons, Inc., Sixth Edition,
2011, ISBN- 13: 978-0470-91769
Modern Control Systems (Richard C. Dorf and Robert H. Bishop), Prentice-Hall, 12th
Edition, 2011, ISBN-10:0-13-602458-0
COORDINATOR
Sahjendra N. Singh
Pushkin Kachroo
COURSE OBJECTIVES
 to develop to the students' ability to derive mathematical models of physical systems
 to develop the students' ability to obtain block diagram, state variable, and signal
flow graph representations of systems
 to develop the students' ability to analyze feedback control system characteristics
(sensitivity, disturbance effect, stability, transient and steady-state performance)
 to develop the students' ability to apply Routh-Hurwitz stability test
 to develop the students' ability to obtain root locus and design control systems using
root locus technique
 to develop the students' ability to apply Nyquist criterion for stability
 to develop the students’ ability to design control systems using root locus and Bode
diagram techniques
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COURSE TOPICS*
Introduction to open- and closed-loop feedback
Mathematical modeling of systems in time and frequency domains
Time response of systems and response characteristics
Block diagram and signal flow diagram and state space representation of systems and
simplification
Steady-state error, sensitivity, disturbance effect
Routh-Hurwitz stability
Root locus technique
Design via root locus
Frequency response and Bode diagram
Nyquist criterion for stability test, gain and phase margins
Design via frequency domain technique
Course Outcomes (Program Outcomes) [UULOs]
Upon completion of the course, students should be able to:
1. Derive mathematical models of systems (1.1, 1.2, 1.3, , 1.6, 1.10, 1.11) [2]
2. Analyze stability, sensitivity with respect to parameters and disturbance input,
transient and steady-state performance of systems (1.1, 1.2, 1.6, 1.8, 1.10, 1.11)
[2]
3. Perform stability analysis using Routh-Hurwitz and Nyquist criterion (1.6, 1.2,
1.8) [2]
4. Design feedback control systems using root locus and frequency domain
techniques (1.2, 1.6, 1.7, 1.8, 1.10, 1.11) [2]
Program Outcomes
1.
The appropriate technical knowledge and skills
1.1 An ability to apply mathematics through differential and integral calculus,
1.2 An ability to apply advanced mathematics such as differential equations, linear algebra, complex
variables, and discrete mathematics,
1.3 An ability to apply knowledge of basic sciences,
1.4 An ability to apply knowledge of computer science
1.5 An ability to apply knowledge of probability and statistics,
1.6 An ability to apply knowledge of engineering
1.7 An ability to design a system, component, or process to meet desired needs within realistic
constraints
1.8 An ability to identify, formulate, and solve engineering problems
1.9 An ability to analyze and design complex electrical and electronic devices
1.10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering
practice.
1.11 An ability to design and conduct experiments, as well as to analyze and interpret data
University Undergraduate Learning Outcomes (UULOs)
Inquiry and Critical Thinking
2.1 Identify problems, articulate questions or hypotheses, and determine the need for information.
2.2 Access and collect the needed information from appropriate primary and secondary sources.
2.3 Use quantitative and qualitative methods, including the ability to recognize assumptions, draw
inferences, make deductions, and interpret information to analyze problems in context, and then
draw conclusions.
2.4 Recognize the complexity of problems, and identify different perspectives from which problems
and questions can be viewed.
2.5 Evaluate and report on conclusions, including discussing the basis for and strength of findings,
and identify areas where further inquiry is needed.
2.6 Identify, analyze, and evaluate reasoning, and construct and defend reasonable arguments and
explanations.
COMPUTER USAGE
Students to use MATLAB or similar programs for analysis and design
GRADING
Homework Assignments, Computational Software Assignments, Midterms, Final Exam.
COURSE PREPARER AND DATE OF PREPARATION
Sahjendra Singh/Pushkin Kachroo, January 29th, 2015.